使用 OLAP 函数的当前列和上一列之间的区别
Difference between current and previous column using OLAP functions
我被要求创建一个报告(使用 Teradata SQL OLAP 函数)如下
EMPL_ID | perd_end_d | pdct_I | Year to date sal Amnt | Diff in sale amnt from Prev month
-------------------------------------------------------------------------------------------
我得到了以下 "sales" 数据集,我必须计算 "Year to date sale amount" 和 "difference in crrent and previous month's sale amount"
empl_id| perd_end_d | pdct_I|sale_amnt|
----------------------------------------
E1001 | 31-01-2010 | P2003 | 2,03 |
E1003 | 31-01-2010 | P2015 | 44 |
E1003 | 31-01-2010 | P2004 | 67,6 |
E1001 | 31-01-2010 | P2002 | 135 |
E1003 | 31-01-2010 | P2003 | 545 |
E1001 | 31-01-2010 | P2001 | 1,00 |
E1002 | 31-01-2010 | P2005 | 23 |
E1002 | 31-01-2010 | P2007 | 343 |
E1006 | 28-02-2010 | P2005 | 34 |
E1006 | 28-02-2010 | P2004 | 43 |
E1001 | 28-02-2010 | P2003 | 54 |
E1001 | 28-02-2010 | P2002 | 878 |
E1003 | 28-02-2010 | P2008 | 434 |
E1001 | 28-02-2010 | P2001 | 66 |
E1007 | 28-02-2010 | P2009 | 455 |
E1007 | 28-02-2010 | P2009 | 4,54 |
E1003 | 28-02-2010 | P2007 | 56 |
E1008 | 28-02-2010 | P2009 | 786 |
E1010 | 31-01-2011 | P2001 | 300 |
E1001 | 31-01-2011 | P2002 | 200 |
E1009 | 31-01-2011 | P2003 | 100 |
E1011 | 31-01-2012 | P2004 | 700 |
E1002 | 31-01-2012 | P2005 | 400 |
E1011 | 31-01-2012 | P2003 | 600 |
E1002 | 31-01-2012 | P2007 | 500 |
---------------------------------------
我想要下面这样的东西
empl_id| perd_end_d | pdct_I|sale_amnt| diff(ur_mnt_sal - prev_mnt_sal)
-------------------------------------------------------------------------
E1001 | 31-01-2010 | P2003 | 2,03 | 203 -- or may be null
E1003 | 31-01-2010 | P2015 | 44 | 159
E1003 | 31-01-2010 | P2004 | 67,6 | 632
E1001 | 31-01-2010 | P2002 | 135 | 541
E1003 | 31-01-2010 | P2003 | 545 | 410
...
到目前为止,我设法找到了所需的结果,但它看起来很难看,我该如何改进以下解决方案。
SELECT perd_end_d
, pdct_I
, sale_amnt
, ABS( SUM(sale_amnt) over (partition by perd_end_d
order by perd_end_d
rows between 1 preceding and 1 preceding )
- SUM(sale_amnt) over (partition by perd_end_d
order by perd_end_d
rows current row ) )"prev_mnt_sal - cur_mnt_sal"
from sandbox.sales;
结果如下
SELECT perd_end_d
, pdct_I
, sale_amnt
, ABS( min(sale_amnt) over (partition by perd_end_d
order by perd_end_d
rows between 1 preceding and 1 preceding )
- sale_amnt) as "prev_mnt_sal - cur_mnt_sal"
from sandbox.sales;
可能想要这样的东西:
SELECT empl_id
, perd_end_d
, sum(sale_amnt) as sumsale
-- cumulative sum of sales per employee
, SUM(sumsale)
over (partition by empl_id
order by perd_end_d
rows unbounded preceding)
-- difference between current and previous month per employee
, sumsale -
SUM(sumsale)
over (partition by empl_id
order by perd_end_d
rows between 1 preceding and 1 preceding )
from sandbox.sales
group by 1,2;
我被要求创建一个报告(使用 Teradata SQL OLAP 函数)如下
EMPL_ID | perd_end_d | pdct_I | Year to date sal Amnt | Diff in sale amnt from Prev month
-------------------------------------------------------------------------------------------
我得到了以下 "sales" 数据集,我必须计算 "Year to date sale amount" 和 "difference in crrent and previous month's sale amount"
empl_id| perd_end_d | pdct_I|sale_amnt|
----------------------------------------
E1001 | 31-01-2010 | P2003 | 2,03 |
E1003 | 31-01-2010 | P2015 | 44 |
E1003 | 31-01-2010 | P2004 | 67,6 |
E1001 | 31-01-2010 | P2002 | 135 |
E1003 | 31-01-2010 | P2003 | 545 |
E1001 | 31-01-2010 | P2001 | 1,00 |
E1002 | 31-01-2010 | P2005 | 23 |
E1002 | 31-01-2010 | P2007 | 343 |
E1006 | 28-02-2010 | P2005 | 34 |
E1006 | 28-02-2010 | P2004 | 43 |
E1001 | 28-02-2010 | P2003 | 54 |
E1001 | 28-02-2010 | P2002 | 878 |
E1003 | 28-02-2010 | P2008 | 434 |
E1001 | 28-02-2010 | P2001 | 66 |
E1007 | 28-02-2010 | P2009 | 455 |
E1007 | 28-02-2010 | P2009 | 4,54 |
E1003 | 28-02-2010 | P2007 | 56 |
E1008 | 28-02-2010 | P2009 | 786 |
E1010 | 31-01-2011 | P2001 | 300 |
E1001 | 31-01-2011 | P2002 | 200 |
E1009 | 31-01-2011 | P2003 | 100 |
E1011 | 31-01-2012 | P2004 | 700 |
E1002 | 31-01-2012 | P2005 | 400 |
E1011 | 31-01-2012 | P2003 | 600 |
E1002 | 31-01-2012 | P2007 | 500 |
---------------------------------------
我想要下面这样的东西
empl_id| perd_end_d | pdct_I|sale_amnt| diff(ur_mnt_sal - prev_mnt_sal)
-------------------------------------------------------------------------
E1001 | 31-01-2010 | P2003 | 2,03 | 203 -- or may be null
E1003 | 31-01-2010 | P2015 | 44 | 159
E1003 | 31-01-2010 | P2004 | 67,6 | 632
E1001 | 31-01-2010 | P2002 | 135 | 541
E1003 | 31-01-2010 | P2003 | 545 | 410
...
到目前为止,我设法找到了所需的结果,但它看起来很难看,我该如何改进以下解决方案。
SELECT perd_end_d
, pdct_I
, sale_amnt
, ABS( SUM(sale_amnt) over (partition by perd_end_d
order by perd_end_d
rows between 1 preceding and 1 preceding )
- SUM(sale_amnt) over (partition by perd_end_d
order by perd_end_d
rows current row ) )"prev_mnt_sal - cur_mnt_sal"
from sandbox.sales;
结果如下
SELECT perd_end_d
, pdct_I
, sale_amnt
, ABS( min(sale_amnt) over (partition by perd_end_d
order by perd_end_d
rows between 1 preceding and 1 preceding )
- sale_amnt) as "prev_mnt_sal - cur_mnt_sal"
from sandbox.sales;
可能想要这样的东西:
SELECT empl_id
, perd_end_d
, sum(sale_amnt) as sumsale
-- cumulative sum of sales per employee
, SUM(sumsale)
over (partition by empl_id
order by perd_end_d
rows unbounded preceding)
-- difference between current and previous month per employee
, sumsale -
SUM(sumsale)
over (partition by empl_id
order by perd_end_d
rows between 1 preceding and 1 preceding )
from sandbox.sales
group by 1,2;